Detection of dryland degradation using Landsat spectral unmixing remote sensing with syndrome concept in Minqin County, China

作者：Sun Danfeng^*

来源：International Journal of Applied Earth Observation and Geoinformation, 2015, 41: 34-45.

DOI：10.1016/j.jag.2015.04.015

• Linear spectral mixture analysis
• Change detection
• Syndrome
• Dryland system
• Western China

This study was to detect dryland degradation coupling linear spectral unmixing model of Landsat images with syndrome concept in temperate dryland system, Minqin, China. The phenological contrast and cornplementation between green vegetation fraction in summer, sandland fraction and saline land fraction in spring, was firstly structured to quantify degradation characteristics by simple correlation analysis with ground data. The spatiotemporal patterns of the three degradation indicators were interpreted with the help "dust bowl" syndrome, qualitatively deciphered the degradation causal clusters, loops and important consequences in the study area. The results indicate water-using and distribution pattern was changed, agricultural intensity and productivity increased, salinization lessened in oasis, whereas sandification risk heightened. This approach developed in this study, has the potentially broad applicability, for dryland system monitoring and modelling.

• 出版日期2015-9
• 单位中国农业大学